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~isPartOf:"European journal of operational research : EJOR"
~person:"Chen, Yao"
~subject:"Data envelopment analysis"
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Data envelopment analysis
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4
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Chen, Yao
Zhu, Joe
21
Kao, Chiang
17
Podinovski, Victor V.
16
Färe, Rolf
10
Aparicio, Juan
9
Liang, Liang
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Sahoo, Biresh K.
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Oude Lansink, Alfons G. J. M.
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Trnovská, Mária
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European journal of operational research : EJOR
Omega : the international journal of management science
3
Multi-objective programming and goal programming : theory and applications ; [proceedings of the Fifth International Conference on Multi-Objective Programming: Theory & Applications (MOPGP'02), held in Nara, Japan on June 4 - 7, 2002]
2
INFOR : information systems and operational research
1
International journal of production economics
1
Journal of the Operational Research Society
1
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ECONIS (ZBW)
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1
Additive efficiency decomposition in two-stage DEA
Chen, Yao
;
Cook, Wade D.
;
Li, Ning
;
Zhu, Joe
- In:
European journal of operational research : EJOR
196
(
2009
)
3
,
pp. 1170-1176
Persistent link: https://www.econbiz.de/10003825169
Saved in:
2
DEA model with shared resources and efficiency decomposition
Chen, Yao
;
Du, Juan
;
Sherman, H. David
;
Zhu, Joe
- In:
European journal of operational research : EJOR
207
(
2010
)
1
,
pp. 339-349
Persistent link: https://www.econbiz.de/10003997253
Saved in:
3
Network DEA pitfalls : divisional efficiency and frontier projection under general network structures
Chen, Yao
;
Cook, Wade D.
;
Kao, Chiang
;
Zhu, Joe
- In:
European journal of operational research : EJOR
226
(
2013
)
3
,
pp. 507-515
Persistent link: https://www.econbiz.de/10009718832
Saved in:
4
A note on second order cone programming approach to two-stage network data envelopment analysis
Guo, Chuanyin
;
Wei, Fajie
;
Chen, Yao
- In:
European journal of operational research : EJOR
263
(
2017
)
2
,
pp. 733-735
Persistent link: https://www.econbiz.de/10011794027
Saved in:
5
Equivalent solutions to additive two-stage network data envelopment analysis
Zhang, Linyan
;
Chen, Yao
- In:
European journal of operational research : EJOR
264
(
2018
)
3
,
pp. 1189-1191
Persistent link: https://www.econbiz.de/10011802362
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